Abstract
In many simulation applications, the target system may change its structure unpredictably. The simulation model should adjust in time, to follow the evolving of the target system. In this paper we put forward a new definition of system to accommodate the dynamic structural change, and classify the structural change of system, include change in components, relationships among components and interaction between system and its environment. Then we propose a distributed framework of simulation model, which supports runtime reconstruction. In this framework, connector components work together to integrate and manage computing components. These elements and their relationship are discussed using π-calculus. We study the weak bi-simulation condition in component replacing, and discuss the consistency of transition of system states. Finally, we point out main problems in modeling and simulation for dynamic structural systems.
This work is partially funded by National Natural Science Foundation of China (NSFC) under grant 70971106.
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References
Wein, L.M.: Homeland security: from mathematical models to policy implementation. Operations Research 57, 801–811 (2009)
Tang, A.P., Wen, A.H.: An intelligent simulation system for earthquake disaster assessment. Computers & Geosciences 35, 871–879 (2009)
Mitchell, B., Yilmaz, L.: Symbiotic adaptive multisimulation: An autonomic simulation framework for real-time decision support under uncertainty. ACM Transactions on Modeling and Computer Simulation 19, 1–31 (2008)
Celik, N., Lee, S., Vasudevan, K., Son, Y.-J.: DDDAS-based multi-fidelity simulation framework for supply chain systems. IIE Trans. 42, 325–341 (2010)
Aydt, H., Turner, S., Cai, W., Low, M.: Research issues in symbiotic simulation. In: Winter Simulation Conference, pp. 1213–1222 (2010)
Mitchell, M.: Complexity: A Guided Tour. Oxford University Press (2009)
Bouassida, I., Guennoun, K., Drira, K., Chassot, C., Jmaiel, M.: A rule-driven approach for architectural self adaptation in collaborative activities using graph grammars. International Journal of Autonomic Computing 1, 226–245 (2010)
Taylor, R.N., Medvidovic, N., Oreizy, P.: Runtime Software Adaptation: Framework, Approaches, and Styles. In: IEEE/IFIP Conference on Software Architecture, pp. 455–461 (2009)
Sangiorgi, D., Walker, D.: The π-calculus: A theory of mobile processes. Cambridge University Press (2001)
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Zhang, F., Zhao, Q. (2012). Runtime Reconstruction of Simulation Models for Dynamic Structure Systems. In: Xiao, T., Zhang, L., Fei, M. (eds) AsiaSim 2012. AsiaSim 2012. Communications in Computer and Information Science, vol 325. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34387-2_4
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DOI: https://doi.org/10.1007/978-3-642-34387-2_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34386-5
Online ISBN: 978-3-642-34387-2
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